skip to navigation skip to content
Instructor-led course

Provided by: Social Sciences Research Methods Programme


This course has 1 scheduled run. To book a place, please choose your preferred date:


Mon 9 Mar 2020


[ Show past events ]

Events available

Meta Analysis


Description

In this module students will be introduced to meta-analysis, a powerful statistical technique allowing researchers to synthesize the available evidence for a given research question using standardized (comparable) effect sizes across studies. The sessions teach students how to compute treatment effects, how to compute effect sizes based on correlational studies, how to address questions such as what is the association of bullying victimization with depression? The module will be useful for students who seek to draw statistical conclusions in a standardized manner from literature reviews they are conducting.

Target audience
  • University Students from Tier 1 Departments
  • Further details regarding eligibility criteria are available here
Prerequisites
  • Students need a clear understanding of fundamental statistical concepts, bivariate association and linear regression
Topics covered
  • Session 1: Introductory session (systematic reviews and meta-analysis) and Using Comprehensive Meta-analysis to calculate effect sizes, run meta-analysis (under fixed/random models) and produce forest plots
  • Session 2: Heterogeneity in effect sizes: Tau-squared, Tau and I-squared and Sub-group analysis and meta-regression
Aims
  • 1. To understand and judge the results produced by a meta-analysis
  • 2. To learn how to compute effects sizes based on dichotomous and continuous data
  • 3. To become familiar with heterogeneity tests
  • 4. To learn how to calculate and report subgroup analysis and meta-regression
Textbook(s)
  • Borenstein, M. Hedges, L.V. Higins, J.P.T. & Rothstein, H.R. (2009) Introduction to Meta-Analysis. Chichester: Wiley
  • Lipsey,M.W.& Wilson,D.B. (2001). Practical Meta-Analysis. London:Sage
How to Book

Click the "Booking" panel on the left-hand sidebar (on a phone, this will be via a link called Booking/Availability near the top of the page).

Assessment

There may be an online open-book test at the end of the module; for most students, the test is not compulsory.

Theme
Specialist Statistics

Events available